marccasian / KaryML-Framework
Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down synd…
☆14Updated 4 years ago
Alternatives and similar repositories for KaryML-Framework:
Users that are interested in KaryML-Framework are comparing it to the libraries listed below
- Banding pattern extraction and banding pattern segmentation mask generation for stained banded chromosome images.☆17Updated 2 years ago
- Separating Overlapping Chromosomes with SegNet.☆14Updated 4 years ago
- Resource of human chromosome schematics & images☆93Updated 6 months ago
- Documentation for the ISB-CGC on Read the Docs.☆10Updated 3 weeks ago
- Solutions to Programming Assignments for Bioinformatics Algorithms (Part 1) on Coursera.org☆30Updated 11 years ago
- ☆10Updated 5 months ago
- Library for KEGG pathway enrichment analysis☆14Updated 2 weeks ago
- A Deep Learning Model for Predicting Next-Generation Sequencing Depth from DNA Sequence☆21Updated 3 years ago
- ☆54Updated 2 years ago
- This repository contains code used to build and interpret a deep learning model. It is a DNN classifier trained using gene expression dat…☆9Updated 3 years ago
- Python version of DISCO toolkit☆13Updated 4 months ago
- This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF meth…☆27Updated 4 months ago
- Python API for Xena Hub☆53Updated last year
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- collection of bioinformatics tools and tips, maybe | 生物信息学软件工具、分析tips集合☆15Updated 4 years ago
- cfDNApipe: A comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data☆63Updated 2 years ago
- Software package whose main functionality consists of an evolutionary algorithm to determine the optimal ensemble of machine learning tec…☆24Updated last month
- the process of operating data types in the TCGA database☆19Updated 4 years ago
- A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence☆8Updated 10 months ago
- Interpretable convolutional neural networks on multi-omics data predict long-term survival in glioblastoma☆15Updated last year
- share some self-build scripts☆65Updated last year
- Deep-Learning framework for multi-omic and survival data integration☆80Updated last year
- Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning☆14Updated 11 months ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆15Updated 3 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆74Updated 5 months ago
- 自己项目整理的目录文件,方便查找,持续更新中☆21Updated 5 years ago
- A GAN-based method for Enhancing Hi-C data☆30Updated 4 years ago
- ☆19Updated 4 years ago
- TCGA data downloader☆14Updated 6 years ago
- A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.☆29Updated this week